Property descriptions are your new AI discovery tool
As AI systems begin to interpret real estate catalogs through both structured data and storytelling, listing copy is once again becoming strategically important, not only for marketing, but also for discovery and search relevance. Troy Palmquist talks about the narrative shift.
For many agents, listing descriptions are a marketing afterthought: useful, but second only to structured filters, photos and floor plans. With the increasing adoption of AI LLMs, even those who prefer thorough and well-written property descriptions may have developed the habit of plugging in a list of features and adding the output as a last-minute bit of marketing polish.
Now, however, with the announcement of Orpi’s rollout of its property catalog, optimized by proptech company Kleio to be natively readable by agentic AI systems, property descriptions are taking on new importance and becoming part of the way properties are interpreted, matched and surfaced in conversational search.
As home searching becomes more automated, AI doesn’t just read the data in your listing. Increasingly it will read the story of the house.
The shift away from filter-first search
On a recent trip to Paris, I saw firsthand how different types of real estate research work outside the US. With no dominant MLS-like system funneling listings, buyers and agents must navigate a fragmented online landscape to find listings.
Whichever side of the pond you’re on, real estate discovery, whether through American MLSs and home search portals or European-style real estate listings, has traditionally been structured around rigid inputs:
- Number of bedrooms
- Number of bathrooms
- Price
- Location
But AI systems are looking for more than that. They interpret intent and nuance and change what “searchable” means.
According to Philippe Wellens, co-founder and CEO of Kleio, AI agents are looking for more than just structured information, so the narrative content in the property description now becomes data that the AI can use to fulfill the query.
Filip Wellens
Wellens gave a concrete example of how AI uses stories. Suppose a potential buyer is “looking for an apartment in a very chic building designed by a specific architect” and “built in the 1970s.” A traditional filter search from a portal would have made most of these details irrelevant, but they are meaningful for AI matching.
Now the architectural history, the character of the building, the qualitative descriptors and the neighborhood context are no longer ‘colour copies’. They have become searchable.
The return of the human-written description
In my conversation with Wellens, I pointed out that I’m not a big fan of AI property descriptions. I find them quite general and rarely convincing. As AI searches become more integrated with home searches, that generic AI-generated copy simply won’t be enough because input quality determines output quality.
Wellens said well-structured input rich in detail becomes a selling point when combined with AI’s personalization potential. Kleio’s system can personalize property descriptions for individual users, placing important details at the top because they are important to the potential buyer.
That means description writing is now a hybrid of marketing and data design, and agents who collect and communicate richer lifestyle and intent data improve discoverability within AI systems. This includes recording:
- lifestyle intention (distance measurements, maintenance and fitness, multigenerational or investment potential)
- features that matter emotionally, not just numerically
- contextual details that AI systems can actually use
Amber Tkaczuk
“Hiring a professional copywriter for my property descriptions was one of the best decisions I’ve made for my advertising,” said team leader Amber Tkaczuk in Omaha, Nebraska. “It frees up my time to focus on what I do best, and honestly, the quality of the writing shows.”
“My copywriter stays on top of compliant language requirements so I never have to worry about what can or can’t be said in a description,” she added. “The result is ads that are not only legally sound, but also actually persuasive – the kind of copy that makes buyers stop scrolling and start booking impressions.”
As AI increasingly becomes the path that connects buyers and properties, the listing description will no longer be the last item on a marketing checklist. It’s becoming one of the most important factors determining whether a trait shows up in AI searches at all.
This elevates one of the oldest substantive disciplines of real estate into something new strategic.
Troy Palmquist is the founder and director of HomeCode Advisors. Connect with him LinkedIn.
